A New Approach to Estimating Destinations in Open Automated Fare Collection Systems based on errors-against-errors strategy

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY
Mostafa Shafaati, Mahmoud Saffarzadeh
{"title":"A New Approach to Estimating Destinations in Open Automated Fare Collection Systems based on errors-against-errors strategy","authors":"Mostafa Shafaati, Mahmoud Saffarzadeh","doi":"10.24200/sci.2024.61695.7445","DOIUrl":null,"url":null,"abstract":"10 In transit systems, automatic fare collection systems (AFCs) are widely used. Passengers are 11 often required to use their smart cards only when entering stops, so their destination is 12 unknown. Methods have been proposed for addressing the problem, but most of those require 13 network-level AFC data. The problem remains unresolved when only one line's AFC data is 14 available. This paper tries to solve this issue for specific applications, like crowding-related 15 problems such as calculating perceived travel times. In our method, rather than minimizing 16 errors, the model is constructed so that desirable errors are produced to counter undesirable 17 errors. The task is accomplished by employing an imbalanced binary class classification 18 based on thresholding for each stop. A classification indicates whether a passenger is 19 alighting or has already alighted at the study or previous stops. Although the model may 20 produce incorrect predictions for a particular stop, it will be adjusted to make a deliberate 21 error: for every incorrect prediction of alighting, there will be a few incorrect predictions of 22 not alighting. Using this technique, we estimate how many passengers are on board the bus. 23 Our model has the functionality of an Automatic Passenger Counting (APC) system when 24 the line does not have one. 25","PeriodicalId":21605,"journal":{"name":"Scientia Iranica","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientia Iranica","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.24200/sci.2024.61695.7445","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

10 In transit systems, automatic fare collection systems (AFCs) are widely used. Passengers are 11 often required to use their smart cards only when entering stops, so their destination is 12 unknown. Methods have been proposed for addressing the problem, but most of those require 13 network-level AFC data. The problem remains unresolved when only one line's AFC data is 14 available. This paper tries to solve this issue for specific applications, like crowding-related 15 problems such as calculating perceived travel times. In our method, rather than minimizing 16 errors, the model is constructed so that desirable errors are produced to counter undesirable 17 errors. The task is accomplished by employing an imbalanced binary class classification 18 based on thresholding for each stop. A classification indicates whether a passenger is 19 alighting or has already alighted at the study or previous stops. Although the model may 20 produce incorrect predictions for a particular stop, it will be adjusted to make a deliberate 21 error: for every incorrect prediction of alighting, there will be a few incorrect predictions of 22 not alighting. Using this technique, we estimate how many passengers are on board the bus. 23 Our model has the functionality of an Automatic Passenger Counting (APC) system when 24 the line does not have one. 25
基于误差对误差策略的开放式自动收费系统目的地估算新方法
10 在公交系统中,自动售检票系统(AFC)被广泛使用。乘客 11 通常只有在进站时才被要求使用智能卡,因此他们的目的地 12 是未知的。有人提出了解决这一问题的方法,但大多数方法都需要 13 网络级的自动售检票系统数据。当只有一条线路的自动售检票系统数据时,这个问题仍未得到解决。本文试图在特定应用中解决这一问题,如计算感知旅行时间等与拥挤相关的 15 个问题。在我们的方法中,模型不是最小化 16 误差,而是通过产生理想误差来抵消不理想误差。这项任务是通过对每个站点采用基于阈值的不平衡二元分类 18 来完成的。分类结果表明,乘客是 19 正在下车还是已经在研究站或前一站下车。虽然该模型可能会对某一特定站点产生不正确的预测,但它会进行调整,以避免故意出错:每一次对乘客下车的不正确预测,都会有几次对乘客未下车的不正确预测。利用这一技术,我们可以估算出公交车上有多少乘客。23 如果线路上没有自动乘客计数系统 (APC),我们的模型也具有该系统的功能。25
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Scientia Iranica
Scientia Iranica 工程技术-工程:综合
CiteScore
2.90
自引率
7.10%
发文量
59
审稿时长
2 months
期刊介绍: The objectives of Scientia Iranica are two-fold. The first is to provide a forum for the presentation of original works by scientists and engineers from around the world. The second is to open an effective channel to enhance the level of communication between scientists and engineers and the exchange of state-of-the-art research and ideas. The scope of the journal is broad and multidisciplinary in technical sciences and engineering. It encompasses theoretical and experimental research. Specific areas include but not limited to chemistry, chemical engineering, civil engineering, control and computer engineering, electrical engineering, material, manufacturing and industrial management, mathematics, mechanical engineering, nuclear engineering, petroleum engineering, physics, nanotechnology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信